World Layoff Data Cleaning

In this project, I performed a comprehensive data cleaning on a global dataset of layoffs; utilizing MySQL workbench to ensure data accuracy, consistency, and usability. The dataset, which contained information on layoffs across various industries and countries, required meticulous cleaning to prepare it for meaningful analysis and insights. This involved identifying and addressing inconsistencies, handling missing data, and standardization across different columns to ensure the data was reliable and easy to query.

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Keywords : Data Profiling, Handling Missing Data, Data Deduplication, Data Standardization, Data Integrity, staging etc.